Pablo Pilotti
Papers
2
Total Citations
35
H-Index
2
About
Pablo Pilotti is a leading researcher in autonomous robotics, with a focus on spatial intelligence for service robots operating in dynamic, real-world environments. His key research areas include map segmentation, lifelong mapping, and autonomous navigation for domestic robots. Pilotti’s major contribution is the development of RoomsSeg, a novel method for segmenting occupancy grid maps into distinct regions representing rooms and corridors. This work, published in 2017 and cited 29 times, enables systematic room-by-room cleaning for autonomous vacuum cleaners, directly addressing a critical challenge in home robotics. More recently, Pilotti has advanced the field of lifelong mapping with his 2023 study on strategies for ensuring map stability and accuracy over time, evaluated on thousands of robots. This work, with 6 citations, demonstrates his commitment to robust, scalable solutions for robots operating in the wild. Pilotti’s research bridges the gap between theoretical mapping algorithms and practical, deployable systems, making him a notable figure in the evolution of autonomous cleaning and service robotics.
Research Focus
Key Achievements
Top Papers
- 1A solution to room-by-room coverage for autonomous cleaning robots29 citations · 2017
- 2